
Doctoral students of the Department of Cognitive Science will present their work at the annual Research Progress Workshop.
The workshop is free and open to anyone. Come along if you are interested in the research of our students!
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Research Progress Workshop
Department of Cognitive Science
Central European University
Thursday, June 1, 2017
Room 101, Október 6. utca 7.
Budapest 1051
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Program
SESSION 1
9:00 Martin Freundlieb
Spontaneous perspective-taking in social interactions
9:20 Laura Schmitz
How do we represent others' action sequences?
9:40 Luke McEllin
Perceiving kinematic cues in teaching and joint action
10:00 Simily Sabu
Exploring the role of variability in a joint sequence learning task
10:20 Thomas Wolf
Of experts adapting and novices rushing in joint music performance
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10:40 COFFEE BREAK
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SESSION 2
11:00 Nazli Altinok
What is rational about faithfully copying sub-efficient actions?
11:20 Gábor Bródy
Spatiotemporal vs kind based object individuation
11:40 Paula Fischer
Can children integrate information about efficiency and causality in false belief reasoning?
12:00 Otávio Mattos
Communicative learning and the development of human reference
12:20 Liza Vorobyova
Infants' understanding of cooperative vs competitive goal-directed events involving multiple agents
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12:40 LUNCH BREAK
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SESSION 3
13:30 Georgina Török
Efficiency and rational decision-making in joint action
13:50 Mia Karabegović
The influence of rule origins on fostering rule abidance
14:10 Johannes Mahr
Young children’s source memory in receptive and productive communication
14:30 Francesca Bonalumi
Psychological basis of commitment
14:50 Helena Miton
Towards new methods for the study of cultural evolution
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15:10 COFFEE BREAK
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SESSION 4
15:30 Eszter Szabó
The comprehension of negative existentials and standard negation in 18-month-olds
15:50 József Arató
Visual statistical learning and spatial attention
16:10 Gábor Lengyel
Statistically defined chunks show similar within/ between-object processing to real objects
16:30 Oana Stanciu
The origins of primacy in estimation